What is Determinisitic Operations Research?

In summary, this course provides an overview of deterministic operations research techniques, with a focus on linear programming and topics such as integer programming, dynamic programming, scheduling models, and game theory. The prerequisite for this course is Calculus 2 with a grade of C or higher. It does not involve any random behavior and will primarily use simple slopes of linear functions.
  • #1
Of Mike and Men
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The course description:
"This course provides a broad overview of deterministic operations research techniques. Linear programming will be covered including the simplex method, duality and sensitivity analysis. Further selected topics are from integer programming, dynamic programming, scheduling models, game theory, and associated topics. Prerequisite: Calculus 2 with a grade of C or higher"

I was just wondering what this is exactly. The description literally means nothing to me. What type of math, and rigor would be expected in this class comparative to other branches? I am going to take it, I just want to know what time commitment I am going to expect to input into this class.

Lastly, are there any other math courses that would be beneficial to have before taking this?
 
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  • #2
A lot of operations research attempts to find the best expected solution to a problem that includes some random behavior. The random behavior really complicates things. This class is for deterministic problems that have no random behavior. The topics described are several of the major topics for finding optimal solutions to particular problems. The math topics that will be used are simple slopes of linear functions. I don't see any topic that would involve nonlinear derivatives or gradients.
 

What is Deterministic Operations Research?

Deterministic Operations Research (OR) is a branch of applied mathematics that focuses on the use of mathematical models and algorithms to analyze and optimize decision-making processes in organizations. It involves the use of quantitative methods and techniques to solve problems related to planning, resource allocation, and operational efficiency.

What are the key components of Deterministic Operations Research?

The key components of Deterministic OR include mathematical modeling, optimization techniques, and simulation methods. Mathematical modeling involves representing real-world problems in mathematical form, while optimization techniques aim to find the best solution to these problems. Simulation methods, on the other hand, use computer-based models to mimic real-world systems and evaluate the performance of different decision-making strategies.

What are some applications of Deterministic Operations Research?

Deterministic OR has a wide range of applications in various industries and sectors, including manufacturing, transportation, logistics, healthcare, and finance. It can be used to optimize supply chain management, improve production processes, schedule resources, and make strategic business decisions. It is also used in disaster management, risk analysis, and military operations.

What are the advantages of using Deterministic Operations Research?

The use of Deterministic OR can lead to more efficient and effective decision-making, resulting in cost savings, increased productivity, and improved performance. It also allows for the evaluation of different scenarios and strategies, enabling organizations to make informed decisions. Additionally, it can help identify potential risks and provide solutions to mitigate them.

What are the limitations of Deterministic Operations Research?

One limitation of Deterministic OR is that it relies on assumptions and simplifications, which may not always accurately reflect real-world situations. It also requires access to data and resources, which can be costly and time-consuming. Moreover, it is a highly technical field that may require specialized knowledge and skills to implement effectively.

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